generate_powerpoint_presentation

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate this is a non-read-only, non-idempotent, non-destructive tool, which the description aligns with by implying creation/modification. The description adds value by specifying the source ('Microsoft 365 data') and output type ('professional PowerPoint presentations'), but doesn't disclose behavioral traits like rate limits, authentication needs, or what happens on failure. No contradiction with annotations exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose. It avoids redundancy and wastes no words, though it could be slightly more structured by separating key features. Every part earns its place by specifying the tool's scope and capabilities.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (10 parameters, nested objects, no output schema) and annotations covering basic safety, the description is adequate but incomplete. It outlines what the tool does but lacks details on output format, error handling, or dependencies, leaving gaps for the agent to infer from the schema alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema description coverage, the input schema thoroughly documents all 10 parameters. The description adds minimal semantics beyond the schema, only hinting at 'custom slides, charts, tables, and themes' which loosely maps to some parameters. It doesn't explain parameter interactions or provide usage examples, so it meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates PowerPoint presentations with custom elements from Microsoft 365 data, specifying the verb ('create') and resource ('PowerPoint presentations'). However, it doesn't explicitly differentiate from sibling tools like 'generate_word_document' or 'generate_html_report' beyond mentioning PowerPoint specifically, which is why it doesn't reach a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context for choosing PowerPoint over other report formats, or any exclusions. The agent must infer usage from the tool name and description alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.